Thanks Jean-Marc for that excellent work and for documenting it on your blog. This is a really good example of Vector Quantisation. A 2-dimensional vector can be easily visualised on an x-y axis - much better than 10 dimensional data like the LSPs!
I ran some tests and can't hear the difference between Jean-Marcs joint pitch-energy VQ and scalar quantisation. In channels that can handle predictive coding, this will approximately halve the rate of the pitch & energy information. Cheers, David On Sun, 2012-03-04 at 01:32 -0500, Jean-Marc Valin wrote: > Hi, > > Just thought some of you might be interested in this post I wrote to > describe the codec2 gain-energy VQ: > http://jmspeex.livejournal.com/10446.html > Hope some of this is actually understandable. > > Cheers, > > Jean-Marc > > ------------------------------------------------------------------------------ > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > _______________________________________________ > Freetel-codec2 mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/freetel-codec2 ------------------------------------------------------------------------------ Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ _______________________________________________ Freetel-codec2 mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/freetel-codec2
